Zapis dokaza metode
Greeks via Automatic Differentiation
Automatic differentiation (AD) is a computational technique for computing derivatives (Greeks) by differentiating the computer code that computes the option price. AD avoids manual derivation of formulas and finite-difference approximations, yielding exact sensitivities with machine precision. It has become essential for real-time risk management in modern trading systems.
Izvorni zapis
Citati kopirani doslovno iz izvornog zapisa metode. Ne impliciraju nikakvu provjeru na razini tvrdnje.
Automatic Differentiation for Greeks Computation
Taksonomski zapis metode · ml-model / quantitative-finance
- Giles, M. B. (2008). Adjoint code by automatic differentiation. Journal of Computational Finance, 12(1), 1-18. · URL
- Homescu, C. (2011). Adjoints and automatic differentiation in computational finance. arXiv:1107.1188. · URL
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